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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
59 vs 83
Hardware Fit
62 vs 100
Quality Score
58 vs 76

Hardware

google/gemma-4-e4b qwen3-5-4b-q4-k-m
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMac Pro
CPUAMD Ryzen 7 4800HIntel Core™ i5-10400
Cores1612
RAM15 GB32 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-5-4b-q4-k-m
Tokens/sec7.162.7
First chunk41 ms278 ms
TTFT1.2 s278 ms
Load time71.7 s0.0 s
Memory usage0.9 GB0.0 GB
Memory %6%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

qwen3-5-4b-q4-k-m

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest